Ming Wei
Impact in
- Microbiology top 2%
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
-
- Cancer-related molecular mechanisms research 7
- MicroRNA in disease regulation 4
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- Actinomycetales infections and treatment 6
- Co-authors
- Xue‐yi You (3 shared papers)Weihong Wen (11 shared papers)Angang Yang (10 shared papers)Zifan Lu (4 shared papers)Zhangyan Guo (5 shared papers)Gangcai Zhu (13 shared papers)Li She (11 shared papers)Shengjia Shi (3 shared papers)
- Journals
- Biochemical and Biophysical Research Communications (4 papers)BMC Anesthesiology (4 papers)Oncology Reports (3 papers)Journal of Cancer (3 papers)BMC Microbiology (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Ming Wei
100 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 159
- Microbiology 57
- Cancer Research 238
- Oncology 278
- Rheumatology 139
- Molecular Biology 607
Countries citing papers authored by Ming Wei
This map shows the geographic impact of Ming Wei's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ming Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Wei more than expected).
Fields of papers citing papers by Ming Wei
This network shows the impact of papers produced by Ming Wei. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ming Wei. The network helps show where Ming Wei may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming Wei, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 104 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 151 | |
| 2 | 2015 | 126 | |
| 3 | 2016 | 76 | |
| 4 | 2021 | 75 | |
| 5 | 2019 | 68 | |
| 6 | 2020 | 66 | |
| 7 | 2018 | 49 | |
| 8 | 2019 | 45 | |
| 9 | 2019 | 44 | |
| 10 | 2021 | 43 | |
| 11 | 2016 | 42 | |
| 12 | 2021 | 38 | |
| 13 | 2013 | 38 | |
| 14 | 2016 | 37 | |
| 15 | 2013 | 32 | |
| 16 | 2022 | 31 | |
| 17 | 2019 | 30 | |
| 18 | 2016 | 29 | |
| 19 | 2016 | 28 | |
| 20 | 2015 | 28 |
About Ming Wei
Ming Wei is a scholar working on Cancer Research, Microbiology, Immunology, Molecular Biology and Small Animals, having authored 104 papers that have together received 1.8k indexed citations. Recurring topics across this work include RNA modifications and cancer (8 papers), Cancer-related molecular mechanisms research (7 papers), Actinomycetales infections and treatment (6 papers), Turbomachinery Performance and Optimization (5 papers), MicroRNA in disease regulation (4 papers), Cancer Mechanisms and Therapy (4 papers), Computational Fluid Dynamics and Aerodynamics (4 papers) and Infectious Diseases and Mycology (4 papers). The work is most often cited by research in Microbiology (57 citations), Cancer Research (238 citations), Oncology (278 citations), Rheumatology (139 citations) and Molecular Biology (607 citations). Ming Wei has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Xue‐yi You, Weihong Wen, Angang Yang, Zifan Lu, Zhangyan Guo, Gangcai Zhu, Li She, Shengjia Shi, Yan–Ling Meng and Donghai Huang. Their work appears in journals such as Biochemical and Biophysical Research Communications, BMC Anesthesiology, Oncology Reports, Journal of Cancer and BMC Microbiology.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.